Create app.py

app.py

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+import gradio as gr
+from image_processing import preprocess_image
+from food_identification import identify_food
+from nutritional_analysis import get_nutritional_info
+from portion_size_analysis import estimate_portion_size
+
+def analyze_food(image):
+    # Step 1: Preprocess the image
+    preprocessed_image = preprocess_image(image)
+    
+    # Step 2: Identify food items
+    food_items = identify_food(preprocessed_image)
+    
+    # Step 3: Fetch nutritional information
+    nutrition_data = get_nutritional_info(food_items)
+    
+    # Step 4: Estimate portion size
+    portion_size = estimate_portion_size(image)
+    
+    return {"Food Items": food_items, "Nutrition": nutrition_data, "Portion Size": portion_size}
+
+# Gradio Interface
+iface = gr.Interface(
+    fn=analyze_food,
+    inputs=gr.Image(type="pil"),
+    outputs="json",
+    title="Diet Nutrition Analyzer",
+    description="Upload an image of your food plate to analyze nutrition and portion size."
+)
+
+if __name__ == "__main__":
+    iface.launch()